Background: Hepatocellular carcinoma (HCC) refers to the malignant tumor associated with a high mortality rate. This work focused on identifying a robust tumor glycolysis-immune-related gene signature to facilitate the prognosis prediction of HCC cases.Methods: This work adopted t-SNE algorithms for predicting glycolysis status in accordance with The Cancer Genome Atlas (TCGA)-derived cohort transcriptome profiles. In addition, the Cox regression model was utilized together with LASSO to identify prognosis-related genes (PRGs). In addition, the results were externally validated with the International Cancer Genome Consortium (ICGC) cohort.Results: Accordingly, the glycolysis-immune-related gene signature, which consisted of seven genes, PSRC1, CHORDC1, KPNA2, CDCA8, G6PD, NEIL3, and EZH2, was constructed based on TCGA-HCC patients. Under a range of circumstances, low-risk patients had extended overall survival (OS) compared with high-risk patients. Additionally, the developed gene signature acted as the independent factor, which was significantly associated with clinical stage, grade, portal vein invasion, and intrahepatic vein invasion among HCC cases. In addition, as revealed by the receiver operating characteristic (ROC) curve, the model showed high efficiency. Moreover, the different glycolysis and immune statuses between the two groups were further revealed by functional analysis.Conclusion: Our as-constructed prognosis prediction model contributes to HCC risk stratification.

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Background Indocyanine green (ICG) fluorescence imaging has been extensively used in the context of laparoscopic hepatectomy for colorectal cancer liver metastases (CRLM). Nevertheless, there remains a lack of strong evidence on the influence of perioperative and survival outcomes in patients undergoing such procedure. Methods The retrospective cohort study was conducted on consecutive patients with CRLM who underwent laparoscopic hepatectomy. The patients were divided into two groups based on utilization of ICG fluorescence imaging during surgical procedure. Data on sociodemographic characteristics, laboratory parameters, pathology findings, surgical outcomes, and survival results were systematically collected for analysis. Results A total of 117 patients were involved in the analysis. Compared to the traditional groups, the ICG-guided group had a significantly higher rate of negative margin (97% v.s 86%, p = 0.009) and lower rate of postoperative bile leakage (13% v.s 31%, p = 0.018). ICG fluorescence imaging was determined to be an independent risk factor associated with postoperative bile leakage (OR = 0.035, 95%CI 0.114–0.982, p = 0.046). As of the last recorded follow-up date, there were 82 (76.6%) recurrences in the entire cohort. No significant difference was found between the two groups in terms of early recurrence rate (26.3% v.s 40%, p = 0.132). However, the intrahepatic recurrence rate was significantly lower in the ICG-guided group (45.6% v.s 68.0%, p = 0.02). The median recurrence free survival of patients in the ICG-guided group was significantly longer compared to the traditional group (11.3 v.s 7.2 months, p = 0.041). Conclusion ICG fluorescence imaging can be utilized to delineate tumor boundaries and determine surgical margin during surgical procedures for CRLM. Additionally, it has shown promising potential in improving the perioperative and recurrence-free survival outcomes in these patients.

Based on Yang's quantized space-time model, a complete Yang model from (5+1)-dimensional space with Minkowski signature is discussed using the projective geometry method and Dirac procedure. We introduce an anti-Yang model and an anti-Snyder model to discuss the duality relations between the anti-Snyder model and anti-de Sitter special relativity.